API cost decision in 10 seconds

Qwen3.5 397B A17B vs NewRing-2.6-1T

Pick Ring-2.6-1T when budget is the priority.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ring-2.6-1T when budget is the priority.

On the standard 1M input plus 500K output workload, Ring-2.6-1T is estimated at $0.39 vs $1.56 for Qwen3.5 397B A17B, saving $1.17 (75.2% lower).

Cost-first pickRing-2.6-1T
Context-first pickBoth models
Sample savings$1.1775.2%
10x traffic gap$11.73

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $11.73. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ring-2.6-1T stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.5 397B A17BRing-2.6-1T
Input-heavy / RAG5M input + 500K outputRing-2.6-1T$3.12$0.69
Balanced workload1M input + 1M outputRing-2.6-1T$2.73$0.7
Output-heavy chatbot1M input + 5M outputRing-2.6-1T$12.09$3.2
Cheaper input Ring-2.6-1T $0.39 vs $0.075 / 1M

Ring-2.6-1T is $0.32 cheaper per 1M input tokens (80.8% lower; 5.2x difference).

Cheaper output Ring-2.6-1T $2.34 vs $0.625 / 1M

Ring-2.6-1T is $1.71 cheaper per 1M output tokens (73.3% lower; 3.74x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Ring-2.6-1T $1.56 vs $0.39

Ring-2.6-1T is $1.17 cheaper on the standard workload (75.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5 397B A17B Calculating… Estimated API cost
Ring-2.6-1T Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Ring-2.6-1T has the lower input price; Ring-2.6-1T has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Ring-2.6-1T is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.56 for Qwen3.5 397B A17B and $0.39 for Ring-2.6-1T.

Best Fit

Choose Qwen3.5 397B A17B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Ring-2.6-1T when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ring-2.6-1T is estimated at $0.39 vs $1.56 for Qwen3.5 397B A17B, saving $1.17 (75.2% lower).
  • Ring-2.6-1T is $1.17 cheaper on the standard workload (75.2% lower).
  • Ring-2.6-1T is $0.32 cheaper per 1M input tokens (80.8% lower; 5.2x difference).
  • Ring-2.6-1T is $1.71 cheaper per 1M output tokens (73.3% lower; 3.74x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
FeatureQwen3.5 397B A17B
(Qwen)
NewRing-2.6-1T
(inclusionAI)
Input Price
prompt tokens per 1M
$0.39$0.075
Completion Price
per 1M tokens
$2.34$0.625
Sample Workload Cost
1M input + 500K output
$1.56$0.39
Context Window262.14K262.14K
Release Date
Popularity#53#64

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionRing-2.6-1TOn the standard 1M input plus 500K output workload, Ring-2.6-1T is estimated at $0.39 vs $1.56 for Qwen3.5 397B A17B, saving $1.17 (75.2% lower).
High-volume input processingRing-2.6-1TLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsRing-2.6-1TLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Qwen catalog

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inclusionAI catalog

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Ring-2.6-1T

Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...